請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/72058
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 莊振義(Jehn-Yih Juang) | |
dc.contributor.author | Szu-Fang Wang | en |
dc.contributor.author | 王思方 | zh_TW |
dc.date.accessioned | 2021-06-17T06:21:14Z | - |
dc.date.available | 2018-08-21 | |
dc.date.copyright | 2018-08-21 | |
dc.date.issued | 2018 | |
dc.date.submitted | 2018-08-18 | |
dc.identifier.citation | Aboelnour, M., & Engel, B. A. (2018). Application of Remote Sensing Techniques and Geographic Information Systems to Analyze Land Surface Temperature in Response to Land Use/Land Cover Change in Greater Cairo Region, Egypt. Journal of Geographic Information System, 10(01), 57.
American Society of Heating, Refrigerating and Air-Conditioning Engineers. (2010). ASHRAE Standard: Thermal Environmental Conditions for Human Occupancy. ASHRAE. Artis, D. A., & Carnahan, W. H. (1982). Survey of emissivity variability in thermography of urban areas. Remote Sensing of Environment, 12(4), 313-329. Bernstein, L. S., Adler-Golden, S. M., Sundberg, R. L., Levine, R. Y., Perkins, T. C., Berk, A., & Hoke, M. L. (2005). A new method for atmospheric correction and aerosol optical property retrieval for VIS-SWIR multi-and hyperspectral imaging sensors: QUAC (QUick atmospheric correction). SPECTRAL SCIENCES INC BURLINGTON MA. Bernstein, L. S., Jin, X., Gregor, B., & Adler-Golden, S. M. (2012). Quick atmospheric correction code: algorithm description and recent upgrades. Optical engineering, 51(11), 111719. Carlson, T. N., & Ripley, D. A. (1997). On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote sensing of Environment, 62(3), 241-252. Chakraborty, S. D., Kant, Y., & Mitra, D. (2015). Assessment of land surface temperature and heat fluxes over Delhi using remote sensing data. Journal of environmental management, 148, 143-152. Chander, G., & Markham, B. (2003). Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges. IEEE Transactions on geoscience and remote sensing, 41(11), 2674-2677. Chen, H. T., 2003: From Ponds to Irrigations: The Evolution of the water resources in Tao-yuan Plateau. Dong Hwa Journal of Humanities, 5, 183-208. (in Chinese) De Freitas, C. R. (1979). Human climates of northern China. Atmospheric Environment, 13(1), 71-77. Djongyang, N., Tchinda, R., & Njomo, D. (2010). Thermal comfort: A review paper. Renewable and sustainable energy reviews, 14(9), 2626-2640. Fänger, P. O. (1972). Thermal comfort: analysis and applications in environmental engineering. Mc. Graww Hill, New York. Fang, W. T., & Huang, Y. W. (2012). Modelling geographic information system with logistic regression in irrigation ponds, Taoyuan Tableland. Procedia Environmental Sciences, 12, 505-513. Gagge, A. P., Fobelets, A. P., & Berglund, L. (1986). A standard predictive index of human response to the thermal environment. ASHRAE Trans.;(United States), 92(CONF-8606125-). Gallo, K., Hale, R., Tarpley, D., & Yu, Y. (2011). Evaluation of the relationship between air and land surface temperature under clear-and cloudy-sky conditions. Journal of applied meteorology and climatology, 50(3), 767-775. Giannini, M. B., Belfiore, O. R., Parente, C., & Santamaria, R. (2015). Land Surface Temperature from Landsat 5 TM images: comparison of different methods using airborne thermal data. Journal of Engineering Science & Technology Review, 8(3). Höppe, P. (1999). The physiological equivalent temperature–a universal index for the biometeorological assessment of the thermal environment. International journal of Biometeorology, 43(2), 71-75. Jiménez‐Muñoz, J. C., & Sobrino, J. A. (2006). Error sources on the land surface temperature retrieved from thermal infrared single channel remote sensing data. International Journal of Remote Sensing, 27(05), 999-1014. Jin, H., Shao, T., & Zhang, R. (2017). Effect of water body forms on microclimate of residential district. Energy Procedia, 134, 256-265. Jin, M., & Dickinson, R. E. (2010). Land surface skin temperature climatology: Benefitting from the strengths of satellite observations. Environmental Research Letters, 5(4), 044004. Kalnay, E., & Cai, M. (2003). Impact of urbanization and land-use change on climate. Nature, 423(6939), 528. Li, Z. L., Tang, B. H., Wu, H., Ren, H., Yan, G., Wan, Z., ... & Sobrino, J. A. (2013). Satellite-derived land surface temperature: Current status and perspectives. Remote Sensing of Environment, 131, 14-37. Lin, C. Y., Chua, Y. J., Sheng, Y. F., Hsu, H. H., Cheng, C. T., & Lin, Y. Y. (2015). Altitudinal and latitudinal dependence of future warming in Taiwan simulated by WRF nested with ECHAM5/MPIOM. International Journal of Climatology, 35(8), 1800-1809. Lin, T. P., Andrade, H., Hwang, R. L., Oliveira, S., & Matzarakis, A. (2008, September). The comparison of thermal sensation and acceptable range for outdoor occupants between Mediterranean and subtropical climates. In Proceedings 18th International Congress on Biometeorology. Lin, T. P., Hwang, R. L., & Cheng, M. J. (2005, September). Thermal comfort in semioutdoor environment of educational and cultural facilities in subtropical Taiwan. In Proceedings of the 17th International Congress of Biometeorology (ICB 2005), Garmisch-Partenkirchen, Germany (pp. 9-5). Lin, T. P., & Matzarakis, A. (2008). Tourism climate and thermal comfort in Sun Moon Lake, Taiwan. International Journal of Biometeorology, 52(4), 281-290. Liu, S. C., Wang, C. H., Shiu, C. J., Chang, H. W., Hsiao, C. K., & Liaw, S. H. (2002). Reduction in sunshine duration over Taiwan: Causes and implications. Terrestrial Atmospheric and Oceanic Sciences, 13(4), 523-546. Liou, Y. A., Liu, H. L., Wang, T. S., & Chou, C. H. (2015). Vanishing Ponds and Regional Water Resources in Taoyuan, Taiwan. Terrestrial, Atmospheric & Oceanic Sciences, 26(2). Liou, Y. A., Lin, H.-Y., & Wang, T. S. (June 28-30, 2015). On the Relationship between LULC Changes and Regional Thermal Environment in Taoyuan, Taiwan. 2015 International Conference on Earth Observations and Societal Impacts (ICEO&SI 2015), Kaohsiung, Taiwan. Manteghi, G., & Remaz, D. (2015). Water Bodies an Urban Microclimate: A Review. Modern Applied Science, 9(6), 1. Mao, I. F., Yang, C. L., Huang, J. W., Chen, C. J., Chen, M. L. (2002). Observation on Work-related Injury among Postal Service Operators. J. Labor Safety Health,10(2): 91-97. (in Chinese) Matzarakis, A., Mayer, H., & Iziomon, M. G. (1999). Applications of a universal thermal index: physiological equivalent temperature. International journal of biometeorology, 43(2), 76-84. Matzarakis, A., Rutz, F., & Mayer, H. (2007). Modelling radiation fluxes in simple and complex environments—application of the RayMan model. International journal of biometeorology, 51(4), 323-334. Mayer, H., & Höppe, P. (1987). Thermal comfort of man in different urban environments. Theoretical and applied climatology, 38(1), 43-49. Mildrexler, D. J., Zhao, M., & Running, S. W. (2011). A global comparison between station air temperatures and MODIS land surface temperatures reveals the cooling role of forests. Journal of Geophysical Research: Biogeosciences, 116(G3). Mutiibwa, D., Strachan, S., & Albright, T. (2015). Land surface temperature and surface air temperature in complex terrain. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(10), 4762-4774. Nichol, J. (2009). An emissivity modulation method for spatial enhancement of thermal satellite images in urban heat island analysis. Photogrammetric Engineering & Remote Sensing, 75(5), 547-556. Oke, T. R. (1982). The energetic basis of the urban heat island. Quarterly Journal of the Royal Meteorological Society, 108(455), 1-24. Pielke, R. A., & Niyogi, D. (2009). The role of landscape processes within the climate system. In Landform-Structure, Evolution, Process Control (pp. 67-85). Springer, Berlin, Heidelberg. Pielke Sr, R. A., Pitman, A., Niyogi, D., Mahmood, R., McAlpine, C., Hossain, F., ... & Reichstein, M. (2011). Land use/land cover changes and climate: modeling analysis and observational evidence. Wiley Interdisciplinary Reviews: Climate Change, 2(6), 828-850. Roshan, G., Samakosh, J. M., & Orosa, J. A. (2016). The impacts of drying of Lake Urmia on changes of degree day index of the surrounding cities by meteorological modelling. Environmental Earth Sciences, 75(20), 1387. Sahana, M., Ahmed, R., & Sajjad, H. (2016). Analyzing land surface temperature distribution in response to land use/land cover change using split window algorithm and spectral radiance model in Sundarban Biosphere Reserve, India. Modeling Earth Systems and Environment, 2(2), 81. Shiu, C. J., Liu, S. C., & Chen, J. P. (2009). Diurnally asymmetric trends of temperature, humidity, and precipitation in Taiwan. Journal of climate, 22(21), 5635-5649. Small, E. E., Sloan, L. C., & Nychka, D. (2001). Changes in surface air temperature caused by desiccation of the Aral Sea. Journal of Climate, 14(3), 284-299. Sobrino, J. A., Jiménez-Muñoz, J. C., & Paolini, L. (2004). Land surface temperature retrieval from LANDSAT TM 5. Remote Sensing of environment, 90(4), 434-440. Sobrino, J. A., Jiménez-Muñoz, J. C., Sòria, G., Romaguera, M., Guanter, L., Moreno, J., & Martínez, P. (2008). Land surface emissivity retrieval from different VNIR and TIR sensors. IEEE Transactions on Geoscience and Remote Sensing, 46(2), 316-327. Sobrino, J. A., & Raissouni, N. (2000). Toward remote sensing methods for land cover dynamic monitoring: application to Morocco. International journal of remote sensing, 21(2), 353-366. Stathopoulou, M., Cartalis, C., & Petrakis, M. (2007). Integrating Corine Land Cover data and Landsat TM for surface emissivity definition: application to the urban area of Athens, Greece. International Journal of Remote Sensing, 28(15), 3291-3304. Tominaga, Y., Sato, Y., & Sadohara, S. (2015). CFD simulations of the effect of evaporative cooling from water bodies in a micro-scale urban environment: Validation and application studies. Sustainable Cities and Society, 19, 259-270. Tsou, J., Zhuang, J., Li, Y., & Zhang, Y. (2017). Urban heat island assessment using the Landsat 8 data: a case study in Shenzhen and Hong Kong. Urban Science, 1(1), 10. Völker, S., Baumeister, H., Claßen, T., Hornberg, C., & Kistemann, T. (2013). Evidence for the temperature-mitigating capacity of urban blue space—a health geographic perspective. Erdkunde, 355-371. Walawender, J. P., Szymanowski, M., Hajto, M. J., & Bokwa, A. (2014). Land surface temperature patterns in the urban agglomeration of Krakow (Poland) derived from Landsat-7/ETM+ data. Pure and Applied Geophysics, 171(6), 913-940. Yan, Y. Y., & Oliver, J. E. (1996). The clo: a utilitarian unit to measure weather/climate comfort. International Journal of Climatology: A Journal of the Royal Meteorological Society, 16(9), 1045-1056. Yıldız, N. D., Avdan, U., Yılmaz, S., & Matzarakis, A. (2018). Thermal map assessment under climate and land use changes; a case study for Uzundere Basin. Environmental Science and Pollution Research, 25(1), 940-951. Zeng, L., Wardlow, B. D., Tadesse, T., Shan, J., Hayes, M. J., Li, D., & Xiang, D. (2015). Estimation of daily air temperature based on MODIS land surface temperature products over the corn belt in the US. Remote Sensing, 7(1), 951-970. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/72058 | - |
dc.description.abstract | 在過去的數十年間,因為都市化的發展,桃園地區有明顯的土地覆蓋及土地利用的改變。在1990年至2010年間,桃園地區的人口增加了八十萬,且房屋住宅數量是過去的兩倍。受到開發過程的影響,桃園地區特有的埤塘也從原有的數千座減少至僅剩三分之一。過去有許多研究對於土地利用變遷對局地氣候的影響做了探討,但比較少研究關注於土地利用變遷對人體舒適度的影響。因此,本研究針對桃園地區的土地利用與覆蓋情況進行分析,並且討論土地利用與覆蓋的改變對於當地熱環境以及熱舒適度的影響。其中的熱舒適度使用了生理等效溫度(Physiological Equivalent Temperature, PET)作為指標。在此研究中,利用衛星Landsat 5和Landsat 8的遙測資料進行土地覆蓋的分類和地表溫度的反演及分析,而生理等效溫度是透過RayMan模式進行計算。結果顯示,在土地覆蓋上,1991年與2016年有5-6%由植被或水體轉為人造物或建物。在地表溫度的部分,同時間不同地點的地表溫度差異可高達10°C以上,且其差值在2016年更為增加;平均地表溫度在建築環境分類下最高,且其上升幅度最大。藉由戶外工作者之生理等校溫度地圖,可以清楚看到熱舒適度在研究區域的空間分布情況。在此研究期間,桃園地區的平均生理等校溫度亦有升高的趨勢。為了增加戶外舒適度,戶外工作著之衣著與材質是可以進行更進一步的探討以及改善的。本研究之土地覆蓋、熱環境分布與熱舒適地圖,可提供氣候與環境變遷下的調適設計和都市規劃之重要參考。 | zh_TW |
dc.description.abstract | Over the past few decades, Taoyuan, located in northwestern Taiwan, has been experiencing significant land use and land cover (LULC) change. Eight hundred thousand population increased, and the number of the houses doubled in the past two decades. Due to urbanization, the numbers of its unique landscape—the farm ponds—reduced by two-thirds. The impact of LULC changes on regional environments has been widely studied in recent years. However, there is relatively little research focusing on the effects of LULC changes on human thermal comfort. The aim of this study is to investigate the influences of LULC changes on the thermal environment and physiological equivalent temperature (PET), an important human comfort index, in Taoyuan. In this study, Landsat 5 and Landsat 8 satellite data are used to classify the spatial distribution of LULC and land surface temperature (LST) over different periods. The PET is calculated by RayMan model with the weather parameters including the retrieved LST. The results show that 5-6% LULC changes from natural landscapes to artificial objects, while both the range and mean value of LST increase from 1991 to 2016. Specifically, the average LST is highest under the land cover class of the built-up environment, and it increases the most over the study period. Combined with the LST and meteorological data, the PET maps show the distribution of human thermal comfort in a higher spatial resolution in the summer daytime. The distribution of PET also correlated to the LULC. The average PET was high over the study period. In order to improve the thermal comfort, different clothing of the outdoor workers is also considered in this study. It shows that the changes in the clothing could make more than 1 °C difference in PET. By the production of LULC and PET maps, the changes in the environment can be noted easily. Furthermore, the PET map could be taken into considerations for urban planning and adaptation to environmental changes in the future. | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T06:21:14Z (GMT). No. of bitstreams: 1 ntu-107-R05247009-1.pdf: 5368953 bytes, checksum: 55f74903f78571f917dffda5058530c3 (MD5) Previous issue date: 2018 | en |
dc.description.tableofcontents | 誌謝 i
摘要 ii Abstract ii LIST OF FIGURE vi LIST OF TABLES viii Chapter 1 Introduction 1 1.1 Impact of land use and land cover change on climate 1 1.2 Satellite-derived land surface temperature 4 1.3 Thermal comfort of human body 6 1.4 Research objectives 9 Chapter 2 Data and methodology 10 2.1 Study area 10 2.2 Satellite Data 12 2.3 Land cover classification 13 2.4 Land surface temperature retrieval 13 2.5 Calculation of PET 17 Chapter 3 Results and discussion 20 3.1 Land use and land cover changes 20 3.1.1 Land cover classification 20 3.1.2 Normalized Difference Vegetation Index 23 3.2 Changes in land surface temperature 27 3.3 Physiological Equivalent Temperature 31 Chapter 4 Conclusion and suggestion 45 4.1 Conclusion 45 4.2 Suggestion 46 4.2.1 Land cover classification 46 4.2.2 Land surface temperature 46 4.2.3 Estimation of air temperature 47 4.2.4 PET map 48 Reference 50 | |
dc.language.iso | en | |
dc.title | 桃園土地利用變遷對人體舒適度的影響 | zh_TW |
dc.title | Effects of Land Use and Land Cover Changes on Human Thermal Comfort in Taoyuan, Taiwan | en |
dc.type | Thesis | |
dc.date.schoolyear | 106-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 陳正平,林子平 | |
dc.subject.keyword | 桃園,土地利用與土地覆蓋,地表溫度,熱舒適指標,生理等效溫度, | zh_TW |
dc.subject.keyword | land use and land cover change,Landsat,land surface temperature,physiological equivalent temperature,Taoyuan, Taiwan, | en |
dc.relation.page | 58 | |
dc.identifier.doi | 10.6342/NTU201803813 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2018-08-19 | |
dc.contributor.author-college | 理學院 | zh_TW |
dc.contributor.author-dept | 氣候變遷與永續發展國際學位學程 | zh_TW |
顯示於系所單位: | 氣候變遷與永續發展國際學位學程(含碩士班、博士班) |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-107-1.pdf 目前未授權公開取用 | 5.24 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。